文章基本信息

标题：Analysis of Performace Parameters of Microstrip Low Pass Filter with Open Stub at 1.08 GHz Using Ann
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作者：Vishakha Dayal Shrivastava ; Vandana Vikas Thakare
期刊名称：International Journal of Signal Processing, Image Processing and Pattern Recognition
印刷版ISSN：2005-4254
出版年度：2016
卷号：9
期号：11
页码：45
出版社：SERSC
摘要：In the present paper analysis of performance parameters i.e.,insertion lossand return loss of microstrip Low Pass Filter with open stub using Artificial Neural Networks has been presented.The Artificial neural network is used in predicting the performance parameters of the low pass filter with open stub as a function of its stub length. Levenberg –Marquardt training algorithms of FFBP-ANN. (feed forward back propagation Artificial Neural Network), Layer Recurrent-ANN and CFBP-ANN (cascaded forward back propagation Artificial Neural Network) has been used to implement the neural network models. Simulated values for training and testing the neural network are obtained by analysing the LPF structure by the use of CST Microwave Studio Software. Comparison of mean square error obtained from different ANN networks concluded that CFBP-ANN gives satisfactory result as compare to FFBP-ANN and Layer RecurrentANN. The testing of output of neural model is found good agreement with simulated output.
关键词：Artificial Neural Networks; Microstrip Low Pass Filter; Feed Forward Back ;Propagation; ;cascaded forward back propagation Artificial Neural Network and ;Laye;r ;Recurrent